--- title: "AingDesk vs onyx" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aingdesk-aingdesk-vs-onyx-dot-app-onyx" tools: ["aingdesk-aingdesk", "onyx-dot-app-onyx"] --- # AingDesk vs onyx *GraphCanon updated Aug 16, 2026* ## Verdict Pick AingDesk if aingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities; pick onyx if onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions. [AingDesk](https://www.aingdesk.com) reports 2.5k GitHub stars, 287 forks, and 71 open issues, last pushed Jun 4, 2026. [onyx](https://onyx.app) has 32k stars, 4.4k forks, and 401 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [AingDesk's repository](https://github.com/aingdesk/AingDesk) and [onyx's repository](https://github.com/onyx-dot-app/onyx). | | [AingDesk](/tools/aingdesk-aingdesk.md) | [onyx](/tools/onyx-dot-app-onyx.md) | | --- | --- | --- | | Tagline | A simple and easy-to-use AI assistant | Open Source AI Platform - AI Chat with advanced features that works with every LLM | | Stars | 2,533 | 31,617 | | Forks | 287 | 4,351 | | Open issues | 71 | 401 | | Language | TypeScript | Python | | Adopt for | AingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities. | Onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other (Specific license details not provided here) | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AingDesk](/tools/aingdesk-aingdesk.md) | [onyx](/tools/onyx-dot-app-onyx.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 70d | 0d | | Open issues (now) | 71 | 401 | | Stars delta | Unknown | +685 (30d) | | Open issues delta | Unknown | -94 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/aingdesk-aingdesk/trust.md) | [trust report](/tools/onyx-dot-app-onyx/trust.md) | ## Decision facts: AingDesk - **Adopt for:** AingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities. ## Decision facts: onyx - **Requirements:** Requires Python environment - **Adopt for:** Onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions. - **License detail:** Other (Specific license details not provided here) ## Choose when ### Choose AingDesk if… - AingDesk is primarily TypeScript; onyx is Python. - License: AingDesk is MIT, onyx is Other. - Tags unique to AingDesk: deepseek, electron, llm, localai. - AingDesk ships an MCP server manifest. - - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup. ### Choose onyx if… - onyx is primarily Python; AingDesk is TypeScript. - License: onyx is Other, AingDesk is MIT. - Requirements: Requires Python environment. - Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag. - Also covers LLM Frameworks. - When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ## When NOT to use AingDesk - - Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases. - - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker. ## When NOT to use onyx - When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx. - If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity. - For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions. ## Common questions ### What is the difference between AingDesk and onyx? AingDesk: A simple and easy-to-use AI assistant. onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose AingDesk over onyx? Choose AingDesk over onyx when AingDesk is primarily TypeScript; onyx is Python; License: AingDesk is MIT, onyx is Other; Tags unique to AingDesk: deepseek, electron, llm, localai; AingDesk ships an MCP server manifest; - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup. ### When should I choose onyx over AingDesk? Choose onyx over AingDesk when onyx is primarily Python; AingDesk is TypeScript; License: onyx is Other, AingDesk is MIT; Requirements: Requires Python environment; Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag; Also covers LLM Frameworks; When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms. ### When should I avoid AingDesk? - Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases. - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker. ### When should I avoid onyx? When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx. If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity. For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions. ### Is AingDesk or onyx more popular on GitHub? onyx has more GitHub stars (31,617 vs 2,533). Stars measure visibility, not whether either tool fits your constraints. ### Are AingDesk and onyx open source? Yes - both are open-source projects on GitHub (AingDesk: MIT, onyx: Other). ### Where can I find alternatives to AingDesk or onyx? GraphCanon lists graph-backed alternatives at [AingDesk alternatives](/tools/aingdesk-aingdesk/alternatives) and [onyx alternatives](/tools/onyx-dot-app-onyx/alternatives) ([AingDesk markdown twin](/tools/aingdesk-aingdesk/alternatives.md), [onyx markdown twin](/tools/onyx-dot-app-onyx/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/aingdesk-aingdesk-vs-onyx-dot-app-onyx.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AingDesk or onyx? AingDesk: Steady. onyx: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AingDesk and onyx? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AingDesk trust report](/tools/aingdesk-aingdesk/trust); [onyx trust report](/tools/onyx-dot-app-onyx/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aingdesk-aingdesk`](/api/graphcanon/graph?tool=aingdesk-aingdesk) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_